Geometrically Efficient Sensor Placement for Enhanced Coverage in Wireless Sensor Networks Using Spatial Arrangement Algorithms.
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| Title: | Geometrically Efficient Sensor Placement for Enhanced Coverage in Wireless Sensor Networks Using Spatial Arrangement Algorithms. |
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| Authors: | Sree, Kaki Ramya1 (AUTHOR) ramya19.sree@vvit.net, Pamula, Vinay Kumar1 (AUTHOR), Wu, Chase1 (AUTHOR) chase.wu@njit.edu |
| Source: | International Journal of Distributed Sensor Networks. 5/25/2026, Vol. 2026, p1-17. 17p. |
| Subjects: | Sensor placement, Spatial arrangement, Energy consumption, Clustering algorithms, Wireless sensor networks, Network performance |
| Abstract: | Sensor placement is important for wireless sensor networks (WSNs) to obtain high coverage and energy efficiency. This paper presents a hybrid sensor deployment approach, in which circle packing theory is combined with an energy‐efficient clustering algorithm (LEACH‐C) for enhanced sensor coverage and energy efficiency. The proposed scheme is based on leveraging the geometric compactness of hexagonal spatial arrangements to decrease redundancy and communication overhead rather than conventional region‐based or metaheuristic‐based approaches. By applying LEACH‐C clustering, the network lifetime is improved via load balancing between nodes. Based on extended statistical and simulation‐based data, this approach shows better performance than classical placement methods in coverage efficiency, network longevity, and scalability. This method allows connecting geometric deployment models and practical applications of WSN while providing a scalable foundation for smart cities, environmental monitoring, and industrial automation applications. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Distributed Sensor Networks is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Abstract: | Sensor placement is important for wireless sensor networks (WSNs) to obtain high coverage and energy efficiency. This paper presents a hybrid sensor deployment approach, in which circle packing theory is combined with an energy‐efficient clustering algorithm (LEACH‐C) for enhanced sensor coverage and energy efficiency. The proposed scheme is based on leveraging the geometric compactness of hexagonal spatial arrangements to decrease redundancy and communication overhead rather than conventional region‐based or metaheuristic‐based approaches. By applying LEACH‐C clustering, the network lifetime is improved via load balancing between nodes. Based on extended statistical and simulation‐based data, this approach shows better performance than classical placement methods in coverage efficiency, network longevity, and scalability. This method allows connecting geometric deployment models and practical applications of WSN while providing a scalable foundation for smart cities, environmental monitoring, and industrial automation applications. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 15501329 |
| DOI: | 10.1155/dsn/7756405 |
